IDEAS home Printed from https://ideas.repec.org/a/eee/worpat/v32y2010i1p30-38.html
   My bibliography  Save this article

Review of the state-of-the-art in patent information and forthcoming evolutions in intelligent patent informatics

Author

Listed:
  • Bonino, Dario
  • Ciaramella, Alberto
  • Corno, Fulvio

Abstract

Information and meta-information related to national and international patents is a critical asset for every innovative company. The complexity of managing, searching, analyzing and relating such information to the needs of the company, in the different user tasks, is tackled by innovative knowledge management solutions, that aim at supporting the users in such daunting tasks. This paper aims at presenting a comprehensive and updated overview of patent information and of innovative solutions in patent informatics, in particular concerning intelligent and semantic solutions proposed in recent years. The analysis starts from the actual requirements of different types of users of patent information, and the typical information management tasks they require. Innovations, covering all the layers from data bases to algorithms to on-line services, are also critically presented and compared, and current research trends are outlined.

Suggested Citation

  • Bonino, Dario & Ciaramella, Alberto & Corno, Fulvio, 2010. "Review of the state-of-the-art in patent information and forthcoming evolutions in intelligent patent informatics," World Patent Information, Elsevier, vol. 32(1), pages 30-38, March.
  • Handle: RePEc:eee:worpat:v:32:y:2010:i:1:p:30-38
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0172-2190(09)00046-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Katia Angue & Cécile Ayerbe & Liliana Mitkova, 2014. "A method using two dimensions of the patent classification for measuring the technological proximity: an application in identifying a potential R&D partner in biotechnology," The Journal of Technology Transfer, Springer, vol. 39(5), pages 716-747, October.
    2. Nazemi, Kawa & Burkhardt, Dirk & Kock, Alexander, 2022. "Visual Analytics for Technology and Innovation Management: An Interaction Approach for Strategic Decision Making," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 136215, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Nazemi, Kawa & Burkhardt, Dirk & Kock, Alexander, 2024. "Visual analytics for technology and innovation management: An interaction approach for strategic decision making," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 144741, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Martin G. Moehrle & Jan M. Gerken, 2012. "Measuring textual patent similarity on the basis of combined concepts: design decisions and their consequences," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 805-826, June.
    5. Ascione, Grazia Sveva, 2023. "Technological diversity to address complex challenges: the contribution of American universities to sdgs," MPRA Paper 119452, University Library of Munich, Germany.
    6. repec:dar:wpaper:130792 is not listed on IDEAS
    7. Venugopalan, Subhashini & Rai, Varun, 2015. "Topic based classification and pattern identification in patents," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 236-250.
    8. Erzurumlu, S. Sinan & Pachamanova, Dessislava, 2020. "Topic modeling and technology forecasting for assessing the commercial viability of healthcare innovations," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    9. Marisela Rodriguez-Salvador & Leonardo Azael Garcia-Garcia, 2018. "Additive Manufacturing in Healthcare," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(1), pages 47-55.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:worpat:v:32:y:2010:i:1:p:30-38. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/654/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.